Check out our latest video to master the differences between Hard Assert and Soft Assert in pytest! Perfect for enhancing your testing skills. 
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In pytest, a hard assert is like a stern gatekeeper—it halts the execution of a test right away if the assertion fails. Imagine it as hitting a stop sign; the test is marked as failed, and no further steps are taken. It’s a firm way to ensure critical conditions are met before proceeding.
On the other hand, a soft assert is more forgiving. Even if an assertion fails, the test keeps running, allowing multiple checks within a single test. This way, you get a full report of all failures at the end, much like having a checklist and noting down every point that needs attention.
For a deeper dive into asserts, check out the guide below. It’s packed with detailed insights that can help you master the art of assertion in your tests:
Adding to Ian,
Hard assert in pytest is a standard assertion that stops the test execution and raises an assertion error if the condition is not met. It is useful when you want the test to fail immediately upon encountering an issue.
Soft assert, on the other hand, is a mechanism that allows you to collect multiple assertion errors during the test execution without stopping the test. This can be useful when you want to gather information about multiple issues in a single test run.
In my experience, understanding the difference between hard and soft asserts in pytest can greatly impact your testing strategy. A hard assert is a traditional assertion that stops the test execution upon failure, meaning only the first assertion failure is reported. On the other hand, a soft assert allows the test to continue running even if the assertion fails, so all assertion failures are reported at the end of the test.
I’ve found that soft asserts are incredibly useful when you want to verify multiple conditions within a single test, allowing you to get a full picture of what’s working and what’s not. Meanwhile, hard asserts are perfect for those critical checks where you need the test to fail immediately upon encountering an issue.